Data Mining or Knowledge Discovery is needed to make sense and use of data. Knowledge Discovery in data is the non-trivial process of identifying valid, novel, potentially useful and ultimately understandable patterns in data [1]. Data mining consists of more than collection and managing data; it also includes analysis and prediction. People are often do mistakes while analyzing or, possibly, when trying to establish relationships between multiple features. This makes it difficult for them to find solutions to certain problems. Classification models predict categorical class labels; and prediction models predict continuous valued functions. For example, we can build a classification model to categorize bank loan applications as either safe or risky, or a prediction model to predict the expenditures in dollars of potential customers on computer equipment given their income and occupation.
By S. Senthil Kumar | Ms. D. Nivya" Credit Card Fraud Detection using Fire Fly Algorithm"
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017,
Paper URL: http://www.ijtsrd.com/papers/ijtsrd4672.pdf
Direct URL: http://www.ijtsrd.com/other-scientific-research-area/other/4672/credit-card-fraud-detection-using-fire-fly-algorithm/s-senthil-kumar
By S. Senthil Kumar | Ms. D. Nivya" Credit Card Fraud Detection using Fire Fly Algorithm"
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017,
Paper URL: http://www.ijtsrd.com/papers/ijtsrd4672.pdf
Direct URL: http://www.ijtsrd.com/other-scientific-research-area/other/4672/credit-card-fraud-detection-using-fire-fly-algorithm/s-senthil-kumar
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